The use of aerial photos taken in a low altitude with UAVs (Unmmaned Aerial Vehicles) is recently becoming a common practice in many areas. The use for agricultural related applications is applied in this study, using a common vegetation index, namely NDVI, to identify areas of large differences in crops grown in order to delineate Management Zones to be eventually used for Precision Agricultur...

This article presents a 4D modelling approach that employs multi-temporal and historical aerial images to derive spatio-temporal information for scenes and landscapes. Such imagery represent a unique data source, which combined with photo interpretation and reality-based 3D reconstruction techniques, can offer a more complete modelling procedure because it adds the fourth dimension of time to 3...

Gully erosion is one of the most complicated and destructive forms of water erosion. In order to prevent this erosion, the important factors advancing gully head must be recognized. Nowadays, several models have been proposed in measuring gully head advancement and identifying the severity of erosion. These models must be calibrated for each country to see whether they are applicable or not. So...

A novel approach of Model-based Building Reconstruction (MBBR) from topographic maps and LiDAR data called Floating Models is proposed in this paper. Floating models are a series of pre-defined primitive models which are floating in the space. Its size is adjustable by shape parameters, while its location and rotation is controlled by pose parameters. A building is reconstructed by adjusting th...

This paper examines data from different sensors regarding their potential for an automatic change detection approach. After a brief discussion of the used approach, results are shown on examples of data from several sensors: scanned analogue aerial photos, an airborne digital line scanner (DPA camera system), the Indian satellite IRS-1C, the MOMS2P camera and from a laser scanning system as an ...

We propose a method based on the Hidden Markov Tree (HMT) model for multiscale image segmentation in the wavelet domain. We use the inherent tree structure of the model to segment the image at a range of different scales. We then merge these different scale segmented images using boundary refinement conditions. The final segmented image utilizes the reliability of coarse scale segmented images ...